Data Scientist - New York

APN Consulting

$115,435.00 -200,310.00/year*

New York,
NY

Information Technology

Full-Time

172 W 104th St

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Title Data Scientist Location New York, NY Duration FTEPermanent What you'll do Embed with a business unit and lead the process of blueprinting, building, and iterating on applications and analyses to help solve your team's biggest problems. Collaborate and communicate closely with technical and non-technical stakeholders to transform vague ideas into verified solutions. Build data into everything - and analyse it to find efficiencies, make automatons, and predict outcomes. Utilize languages such as Python, R, and SQL, compute frameworks like Spark, or whatever other tools it takes to get the job done. Leverage our DevOps and Data Architecture teams to deploy your code at scale. Who you are You thrive in the unknown. For you, questions like \"How do we speed up clinical trials?\" and \"How do we identify medicines that work?\" are chances to learn new coding languages, explore new fields, and synthesize disparate ideas. You have strong programming and statistical analysis skills, preferably with industry experience as a data scientist, software engineer, or technical consultant. You have a keen sense of stakeholder empathy and can design applications that are intuitively integrated into workflows You think backwards from optimal business results to choose languages, frameworks, and algorithms - not the other way around. Healthcare experience nice to have, but not required - we value thinkers of all backgrounds. Top 3 skills \"Hard Skills - PhD with Computer Science degree, 3 yearsrsquo experience in coding with Python. Strong programming and statistical analysis skills, preferably with industry experience as a data scientist, software engineer, or technical consultant Associated topics: circuit, c#, computer engineering, electronic engineering, javascript, matlab, processor, programming, radar, robotics

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.